🚀 Learn LangChain Step-by-Step – from beginner basics to advanced AI development!
📁 GitHub Code: https://github.com/deepakat002/langchain
📺 Full Playlist: https://www.youtube.com/watch?v=_S197qTrwCo&list=PLMBGi9ehLupu6wKCY-3xJODO2i30lsxY-&ab_channel=coder_zero
🔔 Subscribe: https://www.youtube.com/@coder_zero
In this complete LangChain tutorial, you'll master everything from loading documents to building AI agents with Retrieval-Augmented Generation (RAG), tools, and chains. Perfect for Python developers, AI enthusiasts, and LLM beginners who want to build real-world AI-powered apps.
📚 What You'll Learn:
🏁 Introduction
📂 Document Loader
✂️ Text Splitter
🧠 Embeddings
📦 Vector Store
🔍 Retriever
📝 Prompts
🤖 Models
📜 Output Parsers
💾 Memory
📚 RAG (Retrieval-Augmented Generation)
🔗 Runnables & Chains
🛠️ Tools & Tool Calling
🕵️ Agents in LangChain
💡 By the end, you’ll be able to create AI apps that can think, reason, and take action.
#langchain #retrievalaugmentedgeneration
